{"as_of":"2026-08-07T08:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:12bdce418cadef8667680a75393ad96f06e8c805463521229976ed5c1a1cc715","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:46:00.216149Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.01800/citation-record","integrity":"/paper/2507.01800/integrity","json":"/paper/2507.01800/citation-record.json","paper":"/paper/2507.01800"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.529375Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"0bfd0b72-8cfe-4616-aa9b-58634f5122a9","year":2022},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.122474Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:9a2efea472a78bd15e34fa66824c3fe30f6d4c299fa45a71cabd00816277b8e7","observation_id":"78e00f1a-f3f9-4fb3-b3a5-e3a5be737723","resolution":{"observed_at":"2026-08-06T20:46:00.532426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.519523Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"ed467dd6-4fe5-4ffd-991f-cd6e4eefc242","year":2022},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.126651Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:5484eba41f8fe05948f3a58638607d5e837c55e014bdb73348bdac87ccd94dfa","observation_id":"bf4313c5-84f9-4ffb-91f7-8aafd50e87ce","resolution":{"observed_at":"2026-08-06T20:46:00.522688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.510034Z","title":"In: NeurIPS (2022)","venue":null,"work_id":"3e49d9b2-fe81-4d34-9ba6-a3f0963d3285","year":2022},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.130549Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:a3f4ff6b4368c5ec074e38e31f5fc1a97541945f28b9af3e794c254d058e6237","observation_id":"7d8250d1-6693-47a7-bcc8-96a3ef5eeb10","resolution":{"observed_at":"2026-08-06T20:46:00.513414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.499645Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"058e4525-aa8e-403d-97d4-eba4ea6c25d1","year":2024},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.134646Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:cbe3abb132a211686dc43599acd38480d38f0494b2d3e29fc6617ae2f86e4f57","observation_id":"0dfbce8a-6349-4979-92ff-68a2dd38d0ea","resolution":{"observed_at":"2026-08-06T20:46:00.503754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.489823Z","title":"In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision (ICCV)","venue":null,"work_id":"0c239ba6-87cf-45d2-8e85-c85e80fc2a3e","year":2021},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.138406Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:811ef533cb1153ebaba2b0f55f9004fc053b2756cc3fec5be37628792b252bb9","observation_id":"9da23171-a80d-40f5-ad00-ec23255f112d","resolution":{"observed_at":"2026-08-06T20:46:00.493092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-06T20:46:00.142296Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.142296Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:6a134d3d5285b7c40774bcc7702129153c7a9b66cd5b27367c052ec759a037b9","observation_id":"e7c317a1-8a8d-4527-8d43-1f91e176e124","resolution":{"observed_at":"2026-08-06T20:46:00.142296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02329","last_updated":"2023-06-04T11:08:53Z","snapshot_observed_at":"2026-08-04T06:06:16.303733Z","submitted_at":"2023-06-04T11:08:53Z","title":"Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02329","snapshot_observed_at":"2026-08-06T20:46:00.146442Z","title":"ArXivabs/2306.02329 (2023), https://api","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.146442Z"},"links":{"cited_paper":"/paper/2306.02329","citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:7e4b2ebdba501b16ef2ede3fb4f5cec7257d5a548fdf9c80df18f1fc31e9465c","observation_id":"4f15e90a-2134-49f6-bbf5-101a94ae089a","resolution":{"observed_at":"2026-08-06T20:46:00.146442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.479570Z","title":"In: North American Chapter of the Association for Computational Linguistics (2019)","venue":null,"work_id":"63da1443-0302-470e-99ae-709aeecf4eeb","year":2019},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.150095Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:f2191ac4c4de1ebebbe29df61cd34a0a8ead382f4a9423acc04c77e9098c3485","observation_id":"83dd3c76-ad86-43d9-9993-e2b71671468c","resolution":{"observed_at":"2026-08-06T20:46:00.482906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.469815Z","title":"NeurIPS (2023)","venue":null,"work_id":"0c76c907-705c-4357-b2e9-d57c3adea681","year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.153409Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:41c3c0c2d01a8c9889630dd048ff6c2beed98fe0a465dae50b3be15b44f7bc9e","observation_id":"f7578eba-3531-4042-a032-ee65189d67e9","resolution":{"observed_at":"2026-08-06T20:46:00.473178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.460469Z","title":"Proceedings of Machine Learning Research, vol","venue":null,"work_id":"f90a31fe-d647-4886-9782-bac92ba517d2","year":2024},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.157648Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:c43734c2141358657af512ff2378a7652dde72faaefa39b29d2d31fd8cec82a9","observation_id":"e882e495-e465-49a5-bc44-80e8fbfdf487","resolution":{"observed_at":"2026-08-06T20:46:00.463721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.450758Z","title":null,"venue":null,"work_id":"8119f426-f36e-462a-bec9-bcef5ea59621","year":2022},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.161070Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:ad388219d99f5cae1a364b7638898c2a90b57d4592ef1614dc7d7cc8e9b71f6d","observation_id":"7198b9ca-659e-4daa-8500-2ff7bb18fa7c","resolution":{"observed_at":"2026-08-06T20:46:00.454022Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.440638Z","title":"In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"1e766eb7-1ada-4b7a-9619-991bfee8bab9","year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.164451Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:91e0996857fccf7dba12c0d37353e42f29ac0ae074826436cc7c9a8942e740c0","observation_id":"628363db-a8a7-4f0c-a133-75659d18586d","resolution":{"observed_at":"2026-08-06T20:46:00.443733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13688","last_updated":"2023-02-14T16:33:33Z","snapshot_observed_at":"2026-08-05T20:18:14.325590Z","submitted_at":"2023-01-31T15:03:44Z","title":"The Flan Collection: Designing Data and Methods for Effective Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13688","snapshot_observed_at":"2026-08-06T20:46:00.167973Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.167973Z"},"links":{"cited_paper":"/paper/2301.13688","citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:b7e331baf585e82bd6b052b1bd20318c4edf78f8da0a0319d6a522cc479fd878","observation_id":"138a3894-2d02-4acf-ab6f-13bad33a42f6","resolution":{"observed_at":"2026-08-06T20:46:00.167973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.430350Z","title":"In: International Conference on Learning Representations (2023), https://openreview.net/forum?id=IDJx97BC38","venue":null,"work_id":"36d8aa76-734f-4c1d-994c-7ab4593e7af6","year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.171938Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:e9ec6489109f3f41694394fafc84045ee606555ffd209d3ff9c39d1cf6817048","observation_id":"c12752f1-87d3-433b-bea1-cc4e6ff284f1","resolution":{"observed_at":"2026-08-06T20:46:00.433919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v38i5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.253434Z","title":"Proceedings of the AAAI Conference on Artificial In- telligence 38(5), 4261–4268 (Mar 2024).https://doi.org/10.1609/aaai.v38i5","venue":null,"work_id":"ddecbc72-b58f-4351-9d23-4c631eda9c7a","year":2024},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.175289Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:c1eba3c66b5c8f7aed117518e97f622f5060fc555aadc1c35574e0c70a6c0cdf","observation_id":"2ba2ea4b-a9dd-4c65-9b8c-1ea56dc69949","resolution":{"observed_at":"2026-08-06T20:46:00.257446Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.419104Z","title":"https://openai.com/index/ learning-to-reason-with-llms/ (2024), accessed: 2024-07-26","venue":null,"work_id":"6a66a5e3-904c-4c6c-8129-9ff6e68e56ee","year":2024},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.178733Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:4792a108869e4622fca1ad73547df9b3752df8a3ea0f652d52014e342e0df2c8","observation_id":"42baa612-bc17-44df-a278-5e5c848efc61","resolution":{"observed_at":"2026-08-06T20:46:00.422893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.407842Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops","venue":null,"work_id":"6242e52f-9dc5-487d-8c83-cd5f71b0ce61","year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.182012Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:1bc4c01d345aa2e25a2ba07a87b88ea9094aab64c4542aeff035f9e6e8f8edcf","observation_id":"53373e94-1e27-4b84-843e-468c28c3e856","resolution":{"observed_at":"2026-08-06T20:46:00.411538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.395613Z","title":"In: Proceedings of the 31st International Con- ference on Neural Information Processing Systems","venue":null,"work_id":"ad4c192d-bcf5-4848-85b2-a4b941a426b3","year":2017},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.185935Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:ba67cfa6047032d82d6d1c27ebd3cd2e81d970e25a7fcacecf131a64be000405","observation_id":"f95f0665-e7ed-44c6-a86c-5cf4d550201f","resolution":{"observed_at":"2026-08-06T20:46:00.400192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.189443Z","title":"In: Meila, M., Zhang, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.189443Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:93d3b3c4c66d14d9abdacd5afe0105ed7e7cafb450d75876b4d8e00031a625ce","observation_id":"7d1c87cc-eed3-4e29-934b-dc6f9c3c6edb","resolution":{"observed_at":"2026-08-06T20:46:00.189443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.376827Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2016)","venue":null,"work_id":"a09ebdaa-b630-4336-813a-8be5405d92cd","year":2016},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.192358Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:e19ce1344e19849d7d59a0cb30ccb7cc2f54875154a159bce836b081175e9c43","observation_id":"77ca55ef-6ae0-4786-b244-83282cc47f59","resolution":{"observed_at":"2026-08-06T20:46:00.380495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.365976Z","title":"International Confer- ence on Robotics and Automation (ICRA) (2023)","venue":null,"work_id":"0f9b9bbf-8a56-4f15-8e69-373b2abcc584","year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.196159Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:e195682c03452b898e4e0af7a48c81e8e8908bf390d44e62374582b43a3d3940","observation_id":"16c2b567-578e-4a3d-bbda-080be4998f6e","resolution":{"observed_at":"2026-08-06T20:46:00.369837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08967","last_updated":"2024-09-13T16:33:18Z","snapshot_observed_at":"2026-07-06T19:15:04.448338Z","submitted_at":"2024-09-13T16:33:18Z","title":"Modeling Rational Adaptation of Visual Search to Hierarchical Structures","version":1},"cited_work":{"arxiv_id":"2409.08967","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.08967","snapshot_observed_at":"2026-08-06T20:46:00.279970Z","title":"Modeling Rational Adaptation of Visual Search to Hierarchical Structures","venue":"cs.HC","work_id":"00205620-d702-448c-ae7f-8985c8742956","year":2024},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.199443Z"},"links":{"cited_paper":"/paper/2409.08967","citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:25b6c9baa47360024931d849ace25c3bc1b0a3f5a94da0bd21ae2e70de70597f","observation_id":"18d3742b-7b8e-429e-b06e-8dd053d90357","resolution":{"observed_at":"2026-08-06T20:46:00.284686Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18585","last_updated":"2025-02-18T16:51:53Z","snapshot_observed_at":"2026-07-06T20:28:33.378335Z","submitted_at":"2025-01-30T18:58:18Z","title":"Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18585","snapshot_observed_at":"2026-08-06T20:46:00.202834Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.202834Z"},"links":{"cited_paper":"/paper/2501.18585","citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:8e20ba0ceee164a2f74e4bf953dc95f7545487a889d38e302cb8221cfde1952e","observation_id":"013342ee-dd4c-4b41-96c8-ed271109e856","resolution":{"observed_at":"2026-08-06T20:46:00.202834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v35i4.16428","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.241783Z","title":null,"venue":null,"work_id":"ebed43e3-b082-4a98-a169-c79817990329","year":2021},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.206001Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:2e527675df3fdb32145d6e7814461a88baee609aff0f2e847271f73d6a1329eb","observation_id":"d0f33653-6f2d-4621-94c0-07d3237a246b","resolution":{"observed_at":"2026-08-06T20:46:00.246305Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.355449Z","title":"In: Proceedings of the Thirty-Fifth AAAI Conference on Artificial In- telligence (AAAI) (February 2021)","venue":null,"work_id":"7a3b1ee6-fdf8-44c6-8d9b-574c1c61dbd4","year":2021},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.209335Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:b3c9e6bd5bf46d5e8982de1e99fa7401533e824404d3b08fa091f3de8c83f445","observation_id":"916a497f-b14c-4375-8080-e4b73c7ab1e2","resolution":{"observed_at":"2026-08-06T20:46:00.359033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.343384Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019)","venue":null,"work_id":"31a5edc2-6c71-4938-9a19-09dc89f07e49","year":2019},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.212984Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:d3a8d012a2bcb3392781c4cb1f7523defd8cd183ff3a77b4da46b598f1114c2d","observation_id":"3008a641-2faf-4c86-bd59-6ee130283f85","resolution":{"observed_at":"2026-08-06T20:46:00.347204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:46:00.330186Z","title":"In: Proceedings of the IEEE/CVF Inter- national Conference on Computer Vision (ICCV)","venue":null,"work_id":"427f56c3-6ae6-42a3-9296-9b2e2ebce822","year":2023},"citing_paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:00.216149Z"},"links":{"citing_paper":"/paper/2507.01800"},"observation_digest":"sha256:42f852721938bd2a73143e813e7bc50221dac0a80626e38847b4baf8aa363a0c","observation_id":"f2a3894d-b578-4794-8b98-8ebc50f8787e","resolution":{"observed_at":"2026-08-06T20:46:00.334342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01800","last_updated":"2025-07-02T15:20:08Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T20:40:12.671017Z","submitted_at":"2025-07-02T15:20:08Z","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":3,"verified_fuzzy":18},"total_outbound_references":27},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.01800."}